scholarly journals Geophysical studies of floating ice by remote sensing

1975 ◽  
Vol 15 (73) ◽  
pp. 305-328 ◽  
Author(s):  
W. J. Campbell ◽  
W. F. Weeks ◽  
R. O. Ramseier ◽  
P. Gloersen
Keyword(s):  
Remote Sensing ◽  
Rapid Evolution ◽  
Passive Microwave ◽  
Scientific Interest ◽  
Current Increase ◽  
Ice Roughness ◽  
Sensing Platforms ◽  
Ice Drift ◽  
Remote Sensing Techniques

AbstractThis paper presents an overview of recent remote-sensing techniques as applied to geophysical studies of floating ice. The current increase in scientific interest in floating ice has occurred during a time of rapid evolution of both remote-sensing platforms and sensors. Mesoscale and macroscale studies of floating ice are discussed under three sensor categories: visual, passive microwave, and active microwave. The specific studies that are reviewed primarily investigate ice drift and deformation, and ice type and ice roughness identification and distribution.

scholarly journals Geophysical studies of floating ice by remote sensing

1975 ◽  
Vol 15 (73) ◽  
pp. 305-328 ◽  
Author(s):  
W. J. Campbell ◽  
W. F. Weeks ◽  
R. O. Ramseier ◽  
P. Gloersen
Keyword(s):  
Remote Sensing ◽  
Rapid Evolution ◽  
Passive Microwave ◽  
Scientific Interest ◽  
Current Increase ◽  
Ice Roughness ◽  
Sensing Platforms ◽  
Ice Drift ◽  
Remote Sensing Techniques

AbstractThis paper presents an overview of recent remote-sensing techniques as applied to geophysical studies of floating ice. The current increase in scientific interest in floating ice has occurred during a time of rapid evolution of both remote-sensing platforms and sensors. Mesoscale and macroscale studies of floating ice are discussed under three sensor categories: visual, passive microwave, and active microwave. The specific studies that are reviewed primarily investigate ice drift and deformation, and ice type and ice roughness identification and distribution.

scholarly journals Weed Detection in Rice Fields Using Remote Sensing Technique: A Review

2021 ◽  
Vol 11 (22) ◽  
pp. 10701
Author(s):  
Rhushalshafira Rosle ◽  
Nik Norasma Che’Ya ◽  
Yuhao Ang ◽  
Fariq Rahmat ◽  
Aimrun Wayayok ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Weed Management ◽  
Agricultural Development ◽  
Automated Detection ◽  
Rice Fields ◽  
Weed Detection ◽  
Remote Sensing Technique ◽  
Sensing Platforms ◽  
Remote Sensing Techniques ◽  
The Ideal

This paper reviewed the weed problems in agriculture and how remote sensing techniques can detect weeds in rice fields. The comparison of weed detection between traditional practices and automated detection using remote sensing platforms is discussed. The ideal stage for controlling weeds in rice fields was highlighted, and the types of weeds usually found in paddy fields were listed. This paper will discuss weed detection using remote sensing techniques, and algorithms commonly used to differentiate them from crops are deliberated. However, weed detection in rice fields using remote sensing platforms is still in its early stages; weed detection in other crops is also discussed. Results show that machine learning (ML) and deep learning (DL) remote sensing techniques have successfully produced a high accuracy map for detecting weeds in crops using RS platforms. Therefore, this technology positively impacts weed management in many aspects, especially in terms of the economic perspective. The implementation of this technology into agricultural development could be extended further.

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